FDA Radiology AI Devices

The Aplio i900/i800/i700 Diagnostic Ultrasound System, Software V7.0 by Canon Medical Systems Corporation is a high-quality ultrasound imaging device designed for use in diverse clinical applications, such as cardiac, abdominal, musculoskeletal, fetal, and small organs imaging. It provides advanced imaging modes including Doppler, Harmonic Imaging, Elastography, and AI-based improvements like Auto Plane Detection and Quick Strain to enhance workflow efficiency and diagnostic accuracy for clinicians.

The Aquilion Serve SP (TSX-307B/1) V1.3 is a multi-slice helical CT scanner that acquires and displays whole-body cross-sectional imaging volumes. It includes an AI-based noise reduction algorithm called AiCE (Advanced Intelligent Clear-IQ Engine) that enhances image quality by reducing noise using deep learning techniques. This helps clinicians obtain clearer diagnostic images for various applications including abdomen, pelvis, lung, cardiac, extremities, head, and inner ear imaging.

The XIDF-AWS801 Angio Workstation (Alphenix Workstation), V9.5, by Canon Medical Systems is a medical imaging system used alongside interventional angiography equipment. It provides 2D and 3D imaging to assist clinicians in visualizing blood vessels throughout the body during catheter procedures. The device incorporates AI deep learning software to improve the detection and stabilization of stent markers, enhancing image clarity and aiding in diagnosis and treatment planning.

The Aplio a550, a450, and a Diagnostic Ultrasound Systems from Canon Medical Systems Corporation provide high-quality ultrasound images in various modes including 2D, Doppler, Color Doppler, Elastography, and 3D/4D imaging. These systems support advanced features enhanced by artificial intelligence and machine learning to assist clinicians in diagnostics across multiple clinical applications such as fetal, abdominal, cardiac, vascular, musculoskeletal, and more.

The Aquilion Exceed LB is a whole-body multi-slice helical CT scanner that captures detailed cross-sectional images of the body, including the head. It incorporates AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks, to improve image quality and reduce noise. This helps clinicians obtain clearer, more accurate diagnostic images for various body regions, including abdomen, pelvis, lung, cardiac, extremities, head, and inner ear.